Evidence map›Paper›PMID 36350644›Full record

ArticleNucleic acids research2023

GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies.

Tim Beck, Thomas Rowlands, Tom Shorter, Anthony J Brookes

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tim BeckDepartment of Genetics and Genome Biology, University of Leicester, Leicester, LE1 7RH, UK.ORCID 0000-0002-0292-7972
Thomas RowlandsDepartment of Genetics and Genome Biology, University of Leicester, Leicester, LE1 7RH, UK.
Tom ShorterDepartment of Genetics and Genome Biology, University of Leicester, Leicester, LE1 7RH, UK.
Anthony J BrookesDepartment of Genetics and Genome Biology, University of Leicester, Leicester, LE1 7RH, UK.

Funding

Medical Research Council MR/S003703/1
6 · The paper itself

Abstract

The GWAS Central resource gathers and curates extensive summary-level genome-wide association study (GWAS) data and puts a range of user-friendly but powerful website tools for the comparison and visualisation of GWAS data at the fingertips of researchers. Through our continued efforts to harmonise and import data received from GWAS authors and consortia, and data sets actively collected from public sources, the database now contains over 72.5 million P-values for over 5000 studies testing over 7.4 million unique genetic markers investigating over 1700 unique phenotypes. Here, we describe an update to integrate this extensive data collection with mouse disease model data to support insights into the functional impact of human genetic variation. GWAS Central has expanded to include mouse gene-phenotype associations observed during mouse gene knockout screens. To allow similar cross-species phenotypes to be compared, terms from mammalian and human phenotype ontologies have been mapped. New interactive interfaces to find, correlate and view human and mouse genotype-phenotype associations are included in the website toolkit. Additionally, the integrated browser for interrogating multiple association data sets has been updated and a GA4GH Beacon API endpoint has been added for discovering variants tested in GWAS. The GWAS Central resource is accessible at https://www.gwascentral.org/.

Indexed as

Databases, GeneticGenome-Wide Association StudyAnimalsData CollectionGenotypeHumansMammalsMicePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID36350644
PMCPMC9825503

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.